Triple
T37593622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vereesa Windrunner |
E935321
|
entity |
| Predicate | factionStance |
P192889
|
FINISHED |
| Object | anti-blood elf |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: anti-blood elf | Statement: [Vereesa Windrunner, factionStance, anti-blood elf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: factionStance Context triple: [Vereesa Windrunner, factionStance, anti-blood elf]
-
A.
factionStatus
Indicates the current state or condition of a faction in relation to a particular context, system, or other entities.
-
B.
factionType
Indicates the classification or category of a faction within a broader system or context.
-
C.
factionName
Indicates the specific name assigned to a faction with which an entity is associated.
-
D.
factionAgnostic
Indicates that the relationship or action applies regardless of any party’s faction, affiliation, or side in a conflict.
-
E.
factionInfluence
Indicates the degree to which one faction affects, controls, or shapes the behavior, decisions, or status of another entity or group.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
| PDg | Predicate description generation | batch_69fd2cf29f808190856ab1d43a51d5c7 |
completed | May 8, 2026, 12:23 a.m. |
Created at: May 3, 2026, 4:18 p.m.